摘要
提出一种集群资源模糊聚类划分模型。对计算机集群中计算节点的CPU、内存、网络、I/O和网卡资源参数进行量化和规范化,运用模糊聚类技术,实现计算节点的聚类划分。引入任务资源需求向量和最低误差容忍向量,将计算机集群划分为若干个性能均衡的逻辑子群。测试结果表明,该模型能有效划分计算机集群,适用于云计算领域的资源调度。
A fuzzy clustering partition model of cluster resource is proposed in this paper. It quantizes and normalizes the computer resource parameters of CPU, memory, I/O, network adapter and net. It uses fuzzy clustering technique to realize the partition of the computing nodes in the computer clusters. By using of the vector of resource demand and the vector of lowest inaccuracy tolerance, it can divide the computer cluster into several classes and the performance of these computers in one class is more similar. Test results show that this model can effectively partition the computer cluster and it fits the resource schedule of cloud computing.
出处
《计算机工程》
CAS
CSCD
2012年第6期34-36,共3页
Computer Engineering
基金
国家自然科学基金资助项目(60970012)
上海市教育科研研究基金资助项目(B08056)
上海信息技术领域重点科技攻关基金资助项目(09511501000
09220502800)
上海市教委科研创新基金资助项目(09YZ428)
上海市重点课程基金资助项目"数据库原理与应用"
关键词
计算机集群资源
模糊聚类
云计算
划分模型
computer cluster resource
fuzzy clustering
cloud computing
partition model
